Siliang Lu
Papers
2
Total Citations
8
H-Index
2
About
Siliang Lu is a researcher advancing the frontiers of robotic perception and manipulation, with a core focus on tactile sensing and computer vision for automated assembly. His most impactful work introduces **GelEvent**, a novel high-speed tactile sensor that integrates an event camera to capture rapid contact dynamics, enabling robotic end effectors to perceive both contact status and force with unprecedented speed. This innovation directly addresses the critical bottleneck of slow response times in existing tactile sensors, promising more dexterous and precise manipulation tasks. With 6 citations since its 2025 publication, GelEvent is already shaping the future of tactile robotics. Complementing this, Lu has developed a **three-step strategy for pattern recognition and rotation angle estimation of rectangular workpieces**, tackling persistent challenges in automated assembly—namely, inaccurate classification and poor positioning accuracy. This work, with 2 citations, demonstrates his commitment to solving real-world industrial problems through deep learning and computer vision. By bridging high-speed tactile feedback with robust visual perception, Siliang Lu is paving the way for more intelligent, responsive robotic systems capable of complex, real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1GelEvent—A Novel High-Speed Tactile Sensor With Event Camera6 citations · 2025
- 2